Hamid International LLC

Ecommerce Exective

Senior E-commerce Specialist

My Amazon Guy

SEO Course

Catalog Course

Amazon

Onez Commerce

E-commerce Specialist

Extreme Commerce

Virtual assistant VA/ (FFL)

Udemy

Amazon PPC Master-class , Amazon advertising

Upscale Valley

Advance Amazon FBA course

Nexus de Commerce

Amazon FBA Expert

Senior Brand Manager | Amazon Account Manager | Amazon Account Specialist $600k for 16+ Amazon Brands with 15% ACoS 🏅| Help Amazon Brands to Grow their Sales and Maximize Profits 10x | 6 & 7 Figure Brands PPC Manager

As an E-commerce Executive with over 5 years of experience in Pakistan and Saudi Arabia, I specialize in Noon and Amazon FBA and PPC management, ensuring seamless daily operations and addressing any concerns. My role involves closely working with departments such as IT, Commercials, and Marketing to facilitate tasks like product listing on marketplaces, promotion listings, IT support, and marketing communications.

Core Responsibilities:

•	Participate in weekly, monthly, and quarterly business reviews to analyze and act on key performance indicators (KPIs) including sales, product range, on-time dispatch, and out-of-stock (OOS) situations.
•	Collaborate with partners to deliver training to store staff.
•	Assist in the new store launch process.
•	Handle day-to-day operational escalations from stores via WhatsApp groups and emails.
•	Monitor assortment performance to identify potential OOS and communicate timely updates to stores.
•	Ensure customer complaints are addressed and resolved promptly.
•	Manage stock availability in the dark store.
•	Oversee receiving, warehousing, distribution, and maintenance operations.
•	Set up the layout and ensure efficient space utilization.
•	Maintain standards of health and safety, hygiene, and security.
•	Manage stock control and reconcile with data storage systems.

Technical Competencies:


•	Awareness of retail operations.
•	Knowledge of aggregator platforms.
•	Understanding of KPI calculations.
•	Basic understanding of P&L.
•	Proficiency in Microsoft tools such as MS Excel.

Most Amazon sellers check yesterday’s sales.
Elite operators study patterns.
If you’re managing multiple ASINs, historical data is not “old numbers” — it’s a strategic weapon.
Here’s how smart brands use previous sales data to control growth instead of chasing it 👇

1️⃣ Forecasting Inventory With Precision
Every ASIN has a sales rhythm.
When you analyze:
• Daily sales velocity
• 7-day vs 30-day moving averages
• Year-over-year comparison
• Seasonality curves
• Promotional lift periods
• Ad spend vs organic contribution
You can predict:
Reorder quantity
Production timelines
Safety stock levels
Expected peak demand windows
Cash flow pressure points
Instead of emergency air shipments…
You build a controlled supply chain.
Because stockouts don’t just reduce sales —
They reset ranking momentum.

2️⃣ Diagnosing Sales Dips Across Multiple ASINs
When one ASIN drops, it’s tactical.
When multiple ASINs drop, it’s strategic.
Historical data helps you compare:
Traffic vs conversion
Organic vs paid ratio
Category trend vs individual decline
Price change impact
Review velocity trend
If traffic is down across all ASINs → Category demand shift.
If only one ASIN drops → Listing or competitive issue.
If conversion declines but traffic stable → Offer or pricing problem.
Data separates emotion from evidence.

3️⃣ Understanding and Repeating Sales Spikes
Spikes are signals.
Was it:
• A coupon launch?
• A PPC bid increase?
• A keyword ranking jump?
• A seasonal trend?
• An external traffic push?
By mapping spikes against activity timelines, you create a repeatable growth framework.
Without that analysis, growth becomes luck.

4️⃣ Portfolio-Level Forecasting for Brand Managers
When handling hero SKUs, bundles, and supporting ASINs:
Historical data helps you:
Predict Q4 demand vs Q1 slowdown
Allocate ad budget to high-LTV SKUs
Prevent overstock on slow movers
Plan launches without cannibalization
Stabilize revenue cycles
Amazon itself highlights the importance of reviewing Business Reports and Detail Page Sales & Traffic data inside Seller Central to track performance trends and make inventory decisions.
Reference:
Amazon Seller Central – Business Reports Guide
https://lnkd.in/dNBEESDe
Data doesn’t just explain what happened.
It predicts what’s about to happen.
Are you reviewing your sales data…
Or are you building decisions around it?

#AmazonFBA #AmazonSeller #EcommerceStrategy #InventoryForecasting #BrandManagement #AmazonGrowth #SellerCentral #DataDriven #AmazonPPC #EcommerceLeadership

khalil Ahmad E-commerce Executive

Amazon Growth Specialist @ Chai Vision | Expert in Amazon 1P Vendor & 3P Private Label | Brand Growth | PPC Strategy | Listing Optimization | Market Research | Compliance & Catalog Management

Great conversations hit different when they’re with people who truly understand tech, data, and brand building.

After a long time, finally caught up with friends and colleagues Sahal Manzoor Sheikh, Ammar, and Fahad Butt.

 We had deep discussions around Amazon tech & IT systems, CRM workflows, Power BI dashboards, and building scalable brands.
Moments like these remind you that strong ideas grow faster when the right minds come together.

 Grateful for the insights, the friendship, and the time well spent.
#Networking #AmazonFBA #EcommerceTech #PowerBI #CRMSystems #BrandBuilding #TechAndBusiness #ProfessionalCircle #FriendsAndColleagues #GrowthConversations

International Business Consultant | CEO | Entrepreneur | Sales Leader | Marketing Leader | Project Management | Business Strategist | Customer Success | Brand Strategy

🔥 Amazon Just Introduced “Prompts” in Sponsored Products Reports — Here’s Why It Matters
If you haven’t noticed yet…
Amazon Ads reporting now shows a new option under Sponsored Products:
Prompts
Most advertisers are ignoring it.
Smart ones are already testing it.
Here’s why this is important 👇
What Are “Prompts” in Sponsored Products?
Inside Campaign Manager → Reports → Sponsored Products,
you can now select Prompts as a report type.
This indicates Amazon is expanding reporting capabilities around AI-driven or query-driven ad interactions.
It’s part of Amazon’s larger shift toward:
• AI-powered shopping experiences
• Conversational search
• Intent-based discovery
As Amazon continues integrating generative AI into shopping (like AI Shopping Guides and Rufus), reporting is evolving too.
Why This Matters for Advertisers
Historically, we optimized based on:
Search Terms
Targeting
Placement
Campaign
Purchased Product
Now, with Prompts reporting, Amazon is signaling that:
Shopper behavior is becoming more conversational.
Instead of typing short keywords like:
“protein shaker”
Shoppers may search more like:
“What’s the best protein shaker for gym use?”
That changes:
Keyword strategy
Match type logic
Long-tail targeting
Conversion expectations
Strategic Implication
If prompt-based data becomes more detailed:
We’ll need to:
✅ Focus more on full-intent keyword clusters
✅ Optimize listings for question-based searches
✅ Align Sponsored Products with AI-driven discovery
✅ Strengthen conversion rate for broader intent traffic
This is not just a reporting update.
It’s a behavioral shift.
Amazon Advertising documentation and reporting updates can be reviewed inside Campaign Manager and the official help section:
Reference:
Amazon Advertising Help – Reporting and Performance Data
https://lnkd.in/dXaHY6sT
Are you still optimizing for traditional short keywords…
Or preparing for conversational, AI-driven search behavior on Amazon?

#AmazonAds #SponsoredProducts #AmazonPPC #AmazonAdvertising #EcommerceStrategy #AIinEcommerce #SellerCentral #PerformanceMarketing #AmazonSeller #DigitalGrowth

📉 Forecasting Isn’t Guesswork — It’s Profit Protection
Most Amazon sellers don’t lose money because of bad products.
They lose money because of poor forecasting and inventory mismanagement.
In 2026, with tighter FBA capacity limits, rising storage fees, and stricter performance metrics, forecasting is no longer optional — it’s survival.
Here are the biggest forecasting mistakes I still see:
❌ 1. Ordering Based on “Feel”
“Sales were good last month, so let’s double inventory.”
That’s not forecasting.
 That’s gambling.
True forecasting considers:
 • 90–180 day sales velocity
 • PPC spend trends
 • Seasonality patterns
 • Ranking stability
 • Conversion rate shifts
 • Market competition changes
❌ 2. Ignoring Lead Time Reality
Suppliers say 30 days.
 Freight takes 20.
 Amazon check-in takes 10–14.
 Unexpected delays add 7–15 more.
Your “30-day reorder cycle” quietly becomes 75+ days.
That’s how stockouts happen.
 And when you stock out:
• Rankings collapse
 • Organic sales reset
 • PPC ACoS spikes
 • Cash flow freezes
❌ 3. Over-Ordering to “Be Safe”
Yes, stockouts hurt.
But overstocking in 2026 hurts more.
With higher aged inventory surcharges and long-term storage fees, excess inventory:
 • Kills cash flow
 • Increases removal costs
 • Lowers IPI score
 • Triggers capacity limits
Smart forecasting balances:
 📊 Sales velocity
 📦 Reorder point
 💰 Cash cycle
 📈 Growth plans
What Smart Inventory Management Looks Like:
✔ Rolling 90-day demand forecasting
 ✔ ASIN-level contribution margin tracking
 ✔ Safety stock based on variability (not emotion)
 ✔ Advertising + inventory alignment
 ✔ Scenario planning (Best / Average / Worst case)
Because inventory is not just stock.
It’s cash.
 It’s ranking.
 It’s stability.
Many sellers focus on PPC optimization…
But forget that the real algorithm Amazon rewards is consistency.
No stockouts.
 No extreme swings.
 No panic reorders.
Just controlled growth.
💬 Question for you:
 Have you ever experienced a sales crash because of stockout or overstock? What was the biggest lesson you learned

#AmazonFBA #InventoryManagement #DemandForecasting #AmazonSeller #SupplyChain #EcommerceGrowth #AmazonBrand #CashFlowManagement #FBA #AmazonBusiness

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